DA 221: Database DevOps Workshop

Organizations want to gain the benefits of DevOps – greater quality, improved stakeholder satisfaction, faster delivery, and higher productivity – across all aspects of IT, including their databases.  In today's competitive business environment new solutions must be delivered in weeks, not months or years.  Enhancements must be delivered in hours or days, not weeks or months.  These delivery timeframes sound like fanciful thinking for traditional teams but are commonly achieved by teams following Disciplined Agile approaches. The good news is that proven techniques exist for data practitioners to work in a DevOps manner.  The bad news is that many existing data practitioners don't know that these techniques exist, or if they do they don't know how to apply them in practice.  This workshop introduces these Agile Data techniques and shows how they fit together in practice.

Very often people start with Scrum, but they quickly discover that to make Scrum work for databases it needs to be significantly extended to address the challenges associated with agile database evolution.  These extensions include:

    • initial planning, 
    • initial requirements elicitation, 
    • initial architecture modeling, 
    • agile data modeling throughout construction, 
    • continuous database development, and 
    • streamlined deployment activities to name a few.  

The Disciplined Agile process decision framework has already done this extension work to address the above challenges.  Furthermore, because DA seamlessly supports both Scrum-based and continuous delivery strategies it is suitable for data practitioners new to agile as well as experienced teams looking to improve their approach.

This workshop teaches you the techniques required for successful database evolution.  An important aspect of this workshop is working through a data-specific case study.


Audience

  • Data Managers or practitioners who are new to DevOps and Agile 
  • Agile practitioners: If you want to include agile database work in your existing agile strategy 
  • Senior Business & IT Management: If you want to understand how a disciplined approach to Database DevOps works in practice

Prerequisites

  1. An understanding of the fundamentals of the Disciplined Agile (DA) approach.  Students are expected to have: 
  2. An appreciation of the Disciplined Agile mindset. People who are new to agile, or who need a refresher, should view the following videos prior to the workshop:
  3.  as well as review our Introduction to Disciplined Agile.

What You'll Learn

  • Fundamental agile database techniques that are critical to the success of database evolution
  • Operational database challenges and strategies

Benefits

Outline

  • The Agile Data mindset
  • How to initiate a disciplined agile team, with a focus on:
- Initial data modeling (requirements and architecture)
- Initial planning

  • How disciplined agile construction works, with a focus on agile database practices such as:
    • Agile data modeling
    • Agile data architecture and design strategies
    • Vertical slicing of data requirements to enable incremental delivery
    • Database regression testing
    • Continuous database integration
    • Database refactoring


Workshop Logistics

  • Length: In person training - One day - 7 hours of classroom time plus breaks
  • Approach: For each major topic in the agenda there will be instruction followed by hands-on group work. The workshop has an emphasis on learning through discussion and experiential exercises


Upcoming workshops

Instructors Certified to teach this course

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